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Poster
ENHANCING PRODUCT IMAGES FOR CLICK-THROUGH RATE IMPROVEMENT
- Citation Author(s):
- Submitted by:
- Yeongnam Chae
- Last updated:
- 4 October 2018 - 9:03pm
- Document Type:
- Poster
- Document Year:
- 2018
- Event:
- Presenters:
- Mitsuru Nakazawa
- Paper Code:
- 2578
- Categories:
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This paper proposes a statistical method to enhance image quality in order to increase the click-through rate (CTR) of product images. We build a joint probability model of global image features for photos of different product categories. The images are modified in terms of brightness, contrast, and sharpness in order to increase the expected CTR. The effectiveness of the method is evaluated using a perceptual user study, comparing it to histogram equalization methods, and by conducting an A/B test over one week on the e-commerce site Rakuten Ichiba.